Protein Structure

Bioinformatics Munich Student Lab

Innovative Research Led by Students

Bridging Biology and Computer Science for the Scientific Community

Analyze Omics Data

Handle high-dimensional biological data

Model Bio-Systems

Model complex systems with mathematical tools

Big Data in Biology

Discover insides from large biological datasets

Develop New Tech

Build cutting-edge bioinformatics tools

Computational approaches can handle complex and large biological data.

Bioinformatics tools are here to help find informative patterns hiding in data

Hands-On Training

Offers practical experience in bioinformatics tools and software, enabling students to apply theoretical knowledge to real-world scenarios.

Research Opportunities

Facilitates student involvement in cutting-edge research projects, often in collaboration with academic and industry partners.

Interdisciplinary Teamwork

Encourages teamwork across disciplines, combining biology, computer science, and statistics, fostering a well-rounded educational experience.

Skill Development

Focuses on developing essential skills such as data analysis, programming, statistical inference, and machine learning within the context of biological data.

Workshops and Seminars

Hosts workshops, seminars, and guest lectures to keep students updated on the latest developments and techniques in the field.

Social Events

Establishes a community of like-minded individuals with a passion for bioinformatics, fostering relationships that can lead to future collaborations.

Bioinformatics News

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